Senior Database Specialist

17 hours ago

Aurangabad, Maharashtra, India beBeeDatabase Full time ₹ 1,20,00,000 - ₹ 2,00,00,000
Job Opportunity

We are seeking an experienced Database Architect to lead the design, optimization, and management of databases. The ideal candidate will possess expertise in architecting scalable, secure, and high-performance databases ensuring data integrity and supporting AI-driven applications.

You will work closely with our AI/Engineering teams to optimize storage, retrieval, and analytics pipelines.

  • Design and Development: Design, develop, and maintain database architectures (SQL & NoSQL).
  • Optimization: Optimize database queries, indexing, and performance tuning.
  • Data Security: Ensure data security, compliance, backup, and disaster recovery.
  • ETL Pipelines: Build and maintain ETL pipelines to support AI/ML and analytics workflows.
  • Collaboration: Collaborate with AI engineers on vector databases and RAG pipelines.
  • Integration: Integrate databases with APIs, CRMs, and external systems.
  • Monitoring: Monitor database health, troubleshoot issues, and improve reliability.
Required Skills & Qualifications
  • Strong proficiency with SQL databases (PostgreSQL, MySQL, MSSQL, etc.).
  • Experience with NoSQL databases (MongoDB, Cassandra, DynamoDB, etc.).
  • Knowledge of vector databases (Pinecone, Weaviate, Chroma, FAISS) is a plus.
  • Expertise in database optimization, indexing, and partitioning.
  • Solid understanding of ETL processes, data pipelines, and data modeling.
  • Experience with cloud database services (AWS RDS, GCP Cloud SQL, Azure SQL).
  • Familiarity with backup, replication, and high availability strategies.
  • Strong Python/SQL scripting skills for automation.
Nice-to-Have
  • Experience with data warehouses (Snowflake, BigQuery, Redshift).
  • Knowledge of streaming data systems (Kafka, Spark).
  • Hands-on experience with AI/ML data pipelines.
  • Exposure to DevOps for databases (Terraform, Kubernetes, CI/CD for DB).
  • Prior work with enterprise-scale databases handling high-volume data.

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